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Update Status

Update Agent Status
agents.update_status(strpath_uuid, AgentUpdateStatusParams**kwargs) -> AgentUpdateStatusResponse
put/v2/gen-ai/agents/{uuid}/deployment_visibility

Check whether an agent is public or private. To update the agent status, send a PUT request to /v2/gen-ai/agents/{uuid}/deployment_visibility.

ParametersExpand Collapse
uuid: str
uuid: str
visibility: Optional[APIDeploymentVisibility]
  • VISIBILITY_UNKNOWN: The status of the deployment is unknown
  • VISIBILITY_DISABLED: The deployment is disabled and will no longer service requests
  • VISIBILITY_PLAYGROUND: Deprecated: No longer a valid state
  • VISIBILITY_PUBLIC: The deployment is public and will service requests from the public internet
  • VISIBILITY_PRIVATE: The deployment is private and will only service requests from other agents, or through API keys
ReturnsExpand Collapse
class AgentUpdateStatusResponse:

UpdateAgentDeploymentVisbilityOutput description

agent: Optional[APIAgent]

An Agent

from gradient import Gradient

client = Gradient()
response = client.agents.update_status(
    path_uuid="\"123e4567-e89b-12d3-a456-426614174000\"",
)
print(response.agent)
{
  "agent": {
    "anthropic_api_key": {
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "deleted_at": "2023-01-01T00:00:00Z",
      "name": "example name",
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    },
    "api_key_infos": [
      {
        "created_at": "2023-01-01T00:00:00Z",
        "created_by": "12345",
        "deleted_at": "2023-01-01T00:00:00Z",
        "name": "example name",
        "secret_key": "example string",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "api_keys": [
      {
        "api_key": "example string"
      }
    ],
    "chatbot": {
      "button_background_color": "example string",
      "logo": "example string",
      "name": "example name",
      "primary_color": "example string",
      "secondary_color": "example string",
      "starting_message": "example string"
    },
    "chatbot_identifiers": [
      {
        "agent_chatbot_identifier": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "child_agents": [],
    "conversation_logs_enabled": true,
    "created_at": "2023-01-01T00:00:00Z",
    "deployment": {
      "created_at": "2023-01-01T00:00:00Z",
      "name": "example name",
      "status": "STATUS_UNKNOWN",
      "updated_at": "2023-01-01T00:00:00Z",
      "url": "example string",
      "uuid": "123e4567-e89b-12d3-a456-426614174000",
      "visibility": "VISIBILITY_UNKNOWN"
    },
    "description": "example string",
    "functions": [
      {
        "api_key": "example string",
        "created_at": "2023-01-01T00:00:00Z",
        "created_by": "12345",
        "description": "example string",
        "faas_name": "example name",
        "faas_namespace": "example name",
        "input_schema": {},
        "name": "example name",
        "output_schema": {},
        "updated_at": "2023-01-01T00:00:00Z",
        "url": "example string",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "guardrails": [
      {
        "agent_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "created_at": "2023-01-01T00:00:00Z",
        "default_response": "example string",
        "description": "example string",
        "guardrail_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "is_attached": true,
        "is_default": true,
        "metadata": {},
        "name": "example name",
        "priority": 123,
        "type": "GUARDRAIL_TYPE_UNKNOWN",
        "updated_at": "2023-01-01T00:00:00Z",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "if_case": "example string",
    "instruction": "example string",
    "k": 123,
    "knowledge_bases": [
      {
        "added_to_agent_at": "2023-01-01T00:00:00Z",
        "created_at": "2023-01-01T00:00:00Z",
        "database_id": "123e4567-e89b-12d3-a456-426614174000",
        "embedding_model_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "is_public": true,
        "last_indexing_job": {
          "completed_datasources": 123,
          "created_at": "2023-01-01T00:00:00Z",
          "data_source_uuids": [
            "example string"
          ],
          "finished_at": "2023-01-01T00:00:00Z",
          "knowledge_base_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "phase": "BATCH_JOB_PHASE_UNKNOWN",
          "started_at": "2023-01-01T00:00:00Z",
          "status": "INDEX_JOB_STATUS_UNKNOWN",
          "tokens": 123,
          "total_datasources": 123,
          "total_items_failed": "12345",
          "total_items_indexed": "12345",
          "total_items_skipped": "12345",
          "updated_at": "2023-01-01T00:00:00Z",
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        },
        "name": "example name",
        "project_id": "123e4567-e89b-12d3-a456-426614174000",
        "region": "example string",
        "tags": [
          "example string"
        ],
        "updated_at": "2023-01-01T00:00:00Z",
        "user_id": "user_id",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "logging_config": {
      "galileo_project_id": "123e4567-e89b-12d3-a456-426614174000",
      "galileo_project_name": "example name",
      "insights_enabled": true,
      "insights_enabled_at": "2023-01-01T00:00:00Z",
      "log_stream_id": "123e4567-e89b-12d3-a456-426614174000",
      "log_stream_name": "example name"
    },
    "max_tokens": 123,
    "model": {
      "agreement": {
        "description": "example string",
        "name": "example name",
        "url": "example string",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      },
      "created_at": "2023-01-01T00:00:00Z",
      "inference_name": "example name",
      "inference_version": "example string",
      "is_foundational": true,
      "metadata": {},
      "name": "example name",
      "parent_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "provider": "MODEL_PROVIDER_DIGITALOCEAN",
      "updated_at": "2023-01-01T00:00:00Z",
      "upload_complete": true,
      "url": "example string",
      "usecases": [
        "MODEL_USECASE_AGENT",
        "MODEL_USECASE_GUARDRAIL"
      ],
      "uuid": "123e4567-e89b-12d3-a456-426614174000",
      "version": {
        "major": 123,
        "minor": 123,
        "patch": 123
      }
    },
    "name": "example name",
    "openai_api_key": {
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "deleted_at": "2023-01-01T00:00:00Z",
      "models": [
        {
          "agreement": {
            "description": "example string",
            "name": "example name",
            "url": "example string",
            "uuid": "123e4567-e89b-12d3-a456-426614174000"
          },
          "created_at": "2023-01-01T00:00:00Z",
          "inference_name": "example name",
          "inference_version": "example string",
          "is_foundational": true,
          "metadata": {},
          "name": "example name",
          "parent_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "provider": "MODEL_PROVIDER_DIGITALOCEAN",
          "updated_at": "2023-01-01T00:00:00Z",
          "upload_complete": true,
          "url": "example string",
          "usecases": [
            "MODEL_USECASE_AGENT",
            "MODEL_USECASE_GUARDRAIL"
          ],
          "uuid": "123e4567-e89b-12d3-a456-426614174000",
          "version": {
            "major": 123,
            "minor": 123,
            "patch": 123
          }
        }
      ],
      "name": "example name",
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    },
    "parent_agents": [],
    "project_id": "123e4567-e89b-12d3-a456-426614174000",
    "provide_citations": true,
    "region": "example string",
    "retrieval_method": "RETRIEVAL_METHOD_UNKNOWN",
    "route_created_at": "2023-01-01T00:00:00Z",
    "route_created_by": "12345",
    "route_name": "example name",
    "route_uuid": "123e4567-e89b-12d3-a456-426614174000",
    "tags": [
      "example string"
    ],
    "temperature": 123,
    "template": {
      "created_at": "2023-01-01T00:00:00Z",
      "description": "example string",
      "guardrails": [
        {
          "priority": 123,
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        }
      ],
      "instruction": "example string",
      "k": 123,
      "knowledge_bases": [
        {
          "added_to_agent_at": "2023-01-01T00:00:00Z",
          "created_at": "2023-01-01T00:00:00Z",
          "database_id": "123e4567-e89b-12d3-a456-426614174000",
          "embedding_model_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "is_public": true,
          "last_indexing_job": {
            "completed_datasources": 123,
            "created_at": "2023-01-01T00:00:00Z",
            "data_source_uuids": [
              "example string"
            ],
            "finished_at": "2023-01-01T00:00:00Z",
            "knowledge_base_uuid": "123e4567-e89b-12d3-a456-426614174000",
            "phase": "BATCH_JOB_PHASE_UNKNOWN",
            "started_at": "2023-01-01T00:00:00Z",
            "status": "INDEX_JOB_STATUS_UNKNOWN",
            "tokens": 123,
            "total_datasources": 123,
            "total_items_failed": "12345",
            "total_items_indexed": "12345",
            "total_items_skipped": "12345",
            "updated_at": "2023-01-01T00:00:00Z",
            "uuid": "123e4567-e89b-12d3-a456-426614174000"
          },
          "name": "example name",
          "project_id": "123e4567-e89b-12d3-a456-426614174000",
          "region": "example string",
          "tags": [
            "example string"
          ],
          "updated_at": "2023-01-01T00:00:00Z",
          "user_id": "user_id",
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        }
      ],
      "long_description": "\"Enhance your customer service with an AI agent designed to provide consistent, helpful, and accurate support across multiple channels. This template creates an agent that can answer product questions, troubleshoot common issues, process simple requests, and maintain a friendly, on-brand voice throughout customer interactions. Reduce response times, handle routine inquiries efficiently, and ensure your customers feel heard and helped.\"",
      "max_tokens": 123,
      "model": {
        "agreement": {
          "description": "example string",
          "name": "example name",
          "url": "example string",
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        },
        "created_at": "2023-01-01T00:00:00Z",
        "inference_name": "example name",
        "inference_version": "example string",
        "is_foundational": true,
        "metadata": {},
        "name": "example name",
        "parent_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "provider": "MODEL_PROVIDER_DIGITALOCEAN",
        "updated_at": "2023-01-01T00:00:00Z",
        "upload_complete": true,
        "url": "example string",
        "usecases": [
          "MODEL_USECASE_AGENT",
          "MODEL_USECASE_GUARDRAIL"
        ],
        "uuid": "123e4567-e89b-12d3-a456-426614174000",
        "version": {
          "major": 123,
          "minor": 123,
          "patch": 123
        }
      },
      "name": "example name",
      "short_description": "\"This template has been designed with question-answer and conversational use cases in mind. It comes with validated agent instructions, fine-tuned model settings, and preconfigured guardrails defined for customer support-related use cases.\"",
      "summary": "example string",
      "tags": [
        "example string"
      ],
      "temperature": 123,
      "template_type": "AGENT_TEMPLATE_TYPE_STANDARD",
      "top_p": 123,
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    },
    "top_p": 123,
    "updated_at": "2023-01-01T00:00:00Z",
    "url": "example string",
    "user_id": "12345",
    "uuid": "123e4567-e89b-12d3-a456-426614174000",
    "version_hash": "example string"
  }
}
Returns Examples
{
  "agent": {
    "anthropic_api_key": {
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "deleted_at": "2023-01-01T00:00:00Z",
      "name": "example name",
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    },
    "api_key_infos": [
      {
        "created_at": "2023-01-01T00:00:00Z",
        "created_by": "12345",
        "deleted_at": "2023-01-01T00:00:00Z",
        "name": "example name",
        "secret_key": "example string",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "api_keys": [
      {
        "api_key": "example string"
      }
    ],
    "chatbot": {
      "button_background_color": "example string",
      "logo": "example string",
      "name": "example name",
      "primary_color": "example string",
      "secondary_color": "example string",
      "starting_message": "example string"
    },
    "chatbot_identifiers": [
      {
        "agent_chatbot_identifier": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "child_agents": [],
    "conversation_logs_enabled": true,
    "created_at": "2023-01-01T00:00:00Z",
    "deployment": {
      "created_at": "2023-01-01T00:00:00Z",
      "name": "example name",
      "status": "STATUS_UNKNOWN",
      "updated_at": "2023-01-01T00:00:00Z",
      "url": "example string",
      "uuid": "123e4567-e89b-12d3-a456-426614174000",
      "visibility": "VISIBILITY_UNKNOWN"
    },
    "description": "example string",
    "functions": [
      {
        "api_key": "example string",
        "created_at": "2023-01-01T00:00:00Z",
        "created_by": "12345",
        "description": "example string",
        "faas_name": "example name",
        "faas_namespace": "example name",
        "input_schema": {},
        "name": "example name",
        "output_schema": {},
        "updated_at": "2023-01-01T00:00:00Z",
        "url": "example string",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "guardrails": [
      {
        "agent_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "created_at": "2023-01-01T00:00:00Z",
        "default_response": "example string",
        "description": "example string",
        "guardrail_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "is_attached": true,
        "is_default": true,
        "metadata": {},
        "name": "example name",
        "priority": 123,
        "type": "GUARDRAIL_TYPE_UNKNOWN",
        "updated_at": "2023-01-01T00:00:00Z",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "if_case": "example string",
    "instruction": "example string",
    "k": 123,
    "knowledge_bases": [
      {
        "added_to_agent_at": "2023-01-01T00:00:00Z",
        "created_at": "2023-01-01T00:00:00Z",
        "database_id": "123e4567-e89b-12d3-a456-426614174000",
        "embedding_model_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "is_public": true,
        "last_indexing_job": {
          "completed_datasources": 123,
          "created_at": "2023-01-01T00:00:00Z",
          "data_source_uuids": [
            "example string"
          ],
          "finished_at": "2023-01-01T00:00:00Z",
          "knowledge_base_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "phase": "BATCH_JOB_PHASE_UNKNOWN",
          "started_at": "2023-01-01T00:00:00Z",
          "status": "INDEX_JOB_STATUS_UNKNOWN",
          "tokens": 123,
          "total_datasources": 123,
          "total_items_failed": "12345",
          "total_items_indexed": "12345",
          "total_items_skipped": "12345",
          "updated_at": "2023-01-01T00:00:00Z",
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        },
        "name": "example name",
        "project_id": "123e4567-e89b-12d3-a456-426614174000",
        "region": "example string",
        "tags": [
          "example string"
        ],
        "updated_at": "2023-01-01T00:00:00Z",
        "user_id": "user_id",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      }
    ],
    "logging_config": {
      "galileo_project_id": "123e4567-e89b-12d3-a456-426614174000",
      "galileo_project_name": "example name",
      "insights_enabled": true,
      "insights_enabled_at": "2023-01-01T00:00:00Z",
      "log_stream_id": "123e4567-e89b-12d3-a456-426614174000",
      "log_stream_name": "example name"
    },
    "max_tokens": 123,
    "model": {
      "agreement": {
        "description": "example string",
        "name": "example name",
        "url": "example string",
        "uuid": "123e4567-e89b-12d3-a456-426614174000"
      },
      "created_at": "2023-01-01T00:00:00Z",
      "inference_name": "example name",
      "inference_version": "example string",
      "is_foundational": true,
      "metadata": {},
      "name": "example name",
      "parent_uuid": "123e4567-e89b-12d3-a456-426614174000",
      "provider": "MODEL_PROVIDER_DIGITALOCEAN",
      "updated_at": "2023-01-01T00:00:00Z",
      "upload_complete": true,
      "url": "example string",
      "usecases": [
        "MODEL_USECASE_AGENT",
        "MODEL_USECASE_GUARDRAIL"
      ],
      "uuid": "123e4567-e89b-12d3-a456-426614174000",
      "version": {
        "major": 123,
        "minor": 123,
        "patch": 123
      }
    },
    "name": "example name",
    "openai_api_key": {
      "created_at": "2023-01-01T00:00:00Z",
      "created_by": "12345",
      "deleted_at": "2023-01-01T00:00:00Z",
      "models": [
        {
          "agreement": {
            "description": "example string",
            "name": "example name",
            "url": "example string",
            "uuid": "123e4567-e89b-12d3-a456-426614174000"
          },
          "created_at": "2023-01-01T00:00:00Z",
          "inference_name": "example name",
          "inference_version": "example string",
          "is_foundational": true,
          "metadata": {},
          "name": "example name",
          "parent_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "provider": "MODEL_PROVIDER_DIGITALOCEAN",
          "updated_at": "2023-01-01T00:00:00Z",
          "upload_complete": true,
          "url": "example string",
          "usecases": [
            "MODEL_USECASE_AGENT",
            "MODEL_USECASE_GUARDRAIL"
          ],
          "uuid": "123e4567-e89b-12d3-a456-426614174000",
          "version": {
            "major": 123,
            "minor": 123,
            "patch": 123
          }
        }
      ],
      "name": "example name",
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    },
    "parent_agents": [],
    "project_id": "123e4567-e89b-12d3-a456-426614174000",
    "provide_citations": true,
    "region": "example string",
    "retrieval_method": "RETRIEVAL_METHOD_UNKNOWN",
    "route_created_at": "2023-01-01T00:00:00Z",
    "route_created_by": "12345",
    "route_name": "example name",
    "route_uuid": "123e4567-e89b-12d3-a456-426614174000",
    "tags": [
      "example string"
    ],
    "temperature": 123,
    "template": {
      "created_at": "2023-01-01T00:00:00Z",
      "description": "example string",
      "guardrails": [
        {
          "priority": 123,
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        }
      ],
      "instruction": "example string",
      "k": 123,
      "knowledge_bases": [
        {
          "added_to_agent_at": "2023-01-01T00:00:00Z",
          "created_at": "2023-01-01T00:00:00Z",
          "database_id": "123e4567-e89b-12d3-a456-426614174000",
          "embedding_model_uuid": "123e4567-e89b-12d3-a456-426614174000",
          "is_public": true,
          "last_indexing_job": {
            "completed_datasources": 123,
            "created_at": "2023-01-01T00:00:00Z",
            "data_source_uuids": [
              "example string"
            ],
            "finished_at": "2023-01-01T00:00:00Z",
            "knowledge_base_uuid": "123e4567-e89b-12d3-a456-426614174000",
            "phase": "BATCH_JOB_PHASE_UNKNOWN",
            "started_at": "2023-01-01T00:00:00Z",
            "status": "INDEX_JOB_STATUS_UNKNOWN",
            "tokens": 123,
            "total_datasources": 123,
            "total_items_failed": "12345",
            "total_items_indexed": "12345",
            "total_items_skipped": "12345",
            "updated_at": "2023-01-01T00:00:00Z",
            "uuid": "123e4567-e89b-12d3-a456-426614174000"
          },
          "name": "example name",
          "project_id": "123e4567-e89b-12d3-a456-426614174000",
          "region": "example string",
          "tags": [
            "example string"
          ],
          "updated_at": "2023-01-01T00:00:00Z",
          "user_id": "user_id",
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        }
      ],
      "long_description": "\"Enhance your customer service with an AI agent designed to provide consistent, helpful, and accurate support across multiple channels. This template creates an agent that can answer product questions, troubleshoot common issues, process simple requests, and maintain a friendly, on-brand voice throughout customer interactions. Reduce response times, handle routine inquiries efficiently, and ensure your customers feel heard and helped.\"",
      "max_tokens": 123,
      "model": {
        "agreement": {
          "description": "example string",
          "name": "example name",
          "url": "example string",
          "uuid": "123e4567-e89b-12d3-a456-426614174000"
        },
        "created_at": "2023-01-01T00:00:00Z",
        "inference_name": "example name",
        "inference_version": "example string",
        "is_foundational": true,
        "metadata": {},
        "name": "example name",
        "parent_uuid": "123e4567-e89b-12d3-a456-426614174000",
        "provider": "MODEL_PROVIDER_DIGITALOCEAN",
        "updated_at": "2023-01-01T00:00:00Z",
        "upload_complete": true,
        "url": "example string",
        "usecases": [
          "MODEL_USECASE_AGENT",
          "MODEL_USECASE_GUARDRAIL"
        ],
        "uuid": "123e4567-e89b-12d3-a456-426614174000",
        "version": {
          "major": 123,
          "minor": 123,
          "patch": 123
        }
      },
      "name": "example name",
      "short_description": "\"This template has been designed with question-answer and conversational use cases in mind. It comes with validated agent instructions, fine-tuned model settings, and preconfigured guardrails defined for customer support-related use cases.\"",
      "summary": "example string",
      "tags": [
        "example string"
      ],
      "temperature": 123,
      "template_type": "AGENT_TEMPLATE_TYPE_STANDARD",
      "top_p": 123,
      "updated_at": "2023-01-01T00:00:00Z",
      "uuid": "123e4567-e89b-12d3-a456-426614174000"
    },
    "top_p": 123,
    "updated_at": "2023-01-01T00:00:00Z",
    "url": "example string",
    "user_id": "12345",
    "uuid": "123e4567-e89b-12d3-a456-426614174000",
    "version_hash": "example string"
  }
}